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采用基于粒子群的多目标优化算法解决背包问题
- 多目标优化问题与粒子群算法的结合,以解决0-1背包问题(The multi-objective optimization problem is combined with particle swarm optimization to solve the 0-1 knapsack problem)
多目标进化
- matlab写的多目标进化算法,值得学习和借鉴,直接修改使用(The multi-objective evolutionary algorithm written by Matlab is worth learning and using for reference.)
电力系统的多目标优化问题minopf3.2_w32
- 程序讨论电力系统的多目标优化问题,内含多个仿真程序(The program discusses multi-objective optimization of power systems and includes multiple simulation programs)
CSMOP多目标程序
- 一个布谷鸟多目标程序,有需要的朋友可以了解下(A cuckoo multiobjective program, a friend in need can understand.)
粒子群多目标-程序
- 一个粒子群多目标算法,带有权重自适应,可以画出相应的pareto前沿(A particle swarm multi-objective algorithm, with weight adaptive, can draw corresponding Pareto frontiers.)
DE多目标程序
- 一个DE多目标算法,可以绘制相应的pareto前沿(A DE multi-objective algorithm can draw corresponding Pareto frontiers.)
人工免疫多目标程序
- 一个人工免疫的多目标程序,可以绘制相应的pareto前沿(A multi-objective program of artificial immune system can draw corresponding Pareto frontiers)
分布式电源选址定容的多目标优化算法_夏澍
- 多目标粒子群算法优化分布式发电选址 实现了最优目标,包含了分布式电源的出力模型(Related papers on location and sizing of distributed generation)
GA多目标优化问题
- 采用遗传算法进行多目标优化问题的求解,具体为两个目标优化问题(genetic algorithm solve multi-objective problem)
多目标优化实例和matlab程序
- 多目标优化算法,,可供初学者学习使用,部分需要重新调试后使用(Multi-objective optimization algorithm, available for beginners to learn, some need to be re-commissioned after use)
多目标粒子群算法
- 利用粒子群算法求解函数的极值,用于多目标模型优化(Solving the extreme value of a function using particle swarm optimization algorithm for multi-objective model optimization)
典型的多目标粒子群算法
- 典型的多目标粒子群算法,用于求解多目标优化问题(Typical multi-objective particle swarm optimization algorithm for solving multi-objective optimization problems)
多目标NSGA
- NSGA(非支配排序遗传算法)、NSGA-II(带精英策略的快速非支配排序遗传算法),都是基于遗传算法的多目标优化算法,是基于pareto最优解讨论的多目标优化。(NSGA (Non-dominated Sorting Genetic Algorithms) and NSGA-II (Quick Non-dominated Sorting Genetic Algorithms with Elite Strategy) are multi
遗传算法多目标优化模板
- 利用geatpy库是实现多目标优化, 基于改进NSGA-Ⅱ算法求解多目标优化问题的进化算法模板,传统NSGA-Ⅱ算法的帕累托最优解来只源于当代种群个体,这样难以高效地获取更多的帕累托最优解,同时难以把种群大小控制在合适的范围内,改进的NSGA2整体上沿用传统的NSGA-Ⅱ算法,不同的是,该算法通过维护一个全局帕累托最优集来实现帕累托前沿的搜索,故并不需要保证种群所有个体都是非支配的。(Using geatpy library to re
遗传算法多目标优化
- 这是遗传算法多目标优化程序。虽然是基础的GA算法程序,但是注释清晰,可以修改目标函数运行,也可以在此基础上进行算法优化(This is a multi-objective optimization program of genetic algorithm. Although it is the basic GA algorithm program, but the annotation is clear, it can modify t
多目标优化
- 多目标优化的各种类型算法的仿真程序,粒子群、遗传等等(Various types of programs for multi-objective optimization)
用遗传算法求解多目标函数优化
- 多目标函数,在多个约束条件的情况下用遗传算法找出最优解(Multi-objective function, using genetic algorithms to find the optimal solution under multiple constraints)
MODA多目标蜻蜓算法
- 用蜻蜓算法求解多目标优化问题,可以运行,完整代码(Using Dragonfly algorithm to solve multi-objective optimization problems, it can run, complete code)
MOPSO多目标粒子群优化算法MATLAB实现
- MOPSO多目标粒子群优化算法MATLAB实现(可直接运行)(MOPSO multi-objective particle swarm optimization algorithm MATLAB (can be directly run))
遗传算法多目标优化
- 遗传算法解决多目标优化问题,利用遗传算法对多目标问题进行优化得到pareto最优解。(The genetic algorithm solves the multi-objective optimization problem and USES the genetic algorithm to optimize the multi-objective problem to get pareto's optimal solution.)